Oecophylla smaragdina, arboreal ants in nature, is of economic interest in the Asian tropics for its potential as a low-cost biological control agent in commercial crops (cashew-nuts and recently oil palm trees). Population density-dynamics is fundamental in the study of control agents. In ants, such empirical data are scarce, considering their underground life where excavation destroys the colonies. Moreover, in the course of estimating the worker relative population size and density in a fixed area by nests counting, a population of O. smaragdina was investigated in oil palm plantations, to implement integrated pest management for controlling dominant bagworm defoliators. To minimize the estimation bias caused by the difference in nest characteristics, we analyzed the correlation of those variables to the nest contents. The models of the nest counting method found that the number of nests, the mean of total workers, and the number of trees (correlated with the occupied area) became the most significant variables in estimating the population density. No external nest characteristics was statistically significantly correlated with the number of workers. Hence, the total average worker number per nest, 6333+2907SE (52 undamaged nests, average mean total major-minor: 6332.55) multiplied by the total nest count is appropriate to estimate the relative population size and density of workers (over few million per colony in a fixed occupied area). Four absolute population-wide estimation of the worker density in four plantations was ensued. This study demonstrated the population dynamic stability of O. smaragdina with sufficient numerical resident ants by a long-term monitoring of the occurrence of incipient colonies. Controlling Metisa plana by such IPM might minimize the usage of broad-spectrum long-range contact life cycle disruptive chemicals on natural enemies’ balance in agro-ecosystems.